571 research outputs found

    MOSDEN: A Scalable Mobile Collaborative Platform for Opportunistic Sensing Applications

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    Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile collaborative platform called MOSDEN that enables and supports opportunistic sensing at run time. MOSDEN captures and shares sensor data across multiple apps, smartphones and users. MOSDEN supports the emerging trend of separating sensors from application-specific processing, storing and sharing. MOSDEN promotes reuse and re-purposing of sensor data hence reducing the efforts in developing novel opportunistic sensing applications. MOSDEN has been implemented on Android-based smartphones and tablets. Experimental evaluations validate the scalability and energy efficiency of MOSDEN and its suitability towards real world applications. The results of evaluation and lessons learned are presented and discussed in this paper.Comment: Accepted to be published in Transactions on Collaborative Computing, 2014. arXiv admin note: substantial text overlap with arXiv:1310.405

    Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN

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    Mobile devices are rapidly becoming the primary computing device in people's lives. Application delivery platforms like Google Play, Apple App Store have transformed mobile phones into intelligent computing devices by the means of applications that can be downloaded and installed instantly. Many of these applications take advantage of the plethora of sensors installed on the mobile device to deliver enhanced user experience. The sensors on the smartphone provide the opportunity to develop innovative mobile opportunistic sensing applications in many sectors including healthcare, environmental monitoring and transportation. In this paper, we present a collaborative mobile sensing framework namely Mobile Sensor Data EngiNe (MOSDEN) that can operate on smartphones capturing and sharing sensed data between multiple distributed applications and users. MOSDEN follows a component-based design philosophy promoting reuse for easy and quick opportunistic sensing application deployments. MOSDEN separates the application-specific processing from the sensing, storing and sharing. MOSDEN is scalable and requires minimal development effort from the application developer. We have implemented our framework on Android-based mobile platforms and evaluate its performance to validate the feasibility and efficiency of MOSDEN to operate collaboratively in mobile opportunistic sensing applications. Experimental outcomes and lessons learnt conclude the paper

    Recent advances in industrial wireless sensor networks towards efficient management in IoT

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    With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service

    Deep Room Recognition Using Inaudible Echos

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    Recent years have seen the increasing need of location awareness by mobile applications. This paper presents a room-level indoor localization approach based on the measured room's echos in response to a two-millisecond single-tone inaudible chirp emitted by a smartphone's loudspeaker. Different from other acoustics-based room recognition systems that record full-spectrum audio for up to ten seconds, our approach records audio in a narrow inaudible band for 0.1 seconds only to preserve the user's privacy. However, the short-time and narrowband audio signal carries limited information about the room's characteristics, presenting challenges to accurate room recognition. This paper applies deep learning to effectively capture the subtle fingerprints in the rooms' acoustic responses. Our extensive experiments show that a two-layer convolutional neural network fed with the spectrogram of the inaudible echos achieve the best performance, compared with alternative designs using other raw data formats and deep models. Based on this result, we design a RoomRecognize cloud service and its mobile client library that enable the mobile application developers to readily implement the room recognition functionality without resorting to any existing infrastructures and add-on hardware. Extensive evaluation shows that RoomRecognize achieves 99.7%, 97.7%, 99%, and 89% accuracy in differentiating 22 and 50 residential/office rooms, 19 spots in a quiet museum, and 15 spots in a crowded museum, respectively. Compared with the state-of-the-art approaches based on support vector machine, RoomRecognize significantly improves the Pareto frontier of recognition accuracy versus robustness against interfering sounds (e.g., ambient music).Comment: 29 page

    The design and implementation of a smart-parking system for Helsinki Area

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    The strain on the parking infrastructure for the general public has significantly grown as a result of the ever rising number of vehicles geared by the rapid population growth in urban areas. Consequently, finding a vacant parking space has become quite a challenging task, especially at peak hours. Drivers have to cycle back and forth a number of times before they finally find where to park. This leads to increased fuel consumption, air pollution, and increased likelihood of causing accidents, to mention but a few. Paying for the parking is not straight forward either, as the ticket machines, on top of being located at a distance, in many times, they have several payment methods drivers must prepare for. A system therefore, that would allow drivers to check for the vacant parking places before driving to a busy city, takes care of the parking fee for exact time they have used, manages electronic parking permit, is the right direction towards toppling these difficulties. The main objective of this project was to design and implement a system that would provide parking occupancy estimation, parking fee payment method, parking permit management and parking analytics for the city authorities. The project had three phases. The first and the second phases used qualitative approaches to validate our hypotheses about parking shortcoming in Helsinki area and the recruitment of participants to the pilot of the project, respectively. The third phase involved the design, implementation and installation of the system. The other objective was to study the challenges a smart parking system would face at different stages of its life cycle. The objectives of the project were achieved and the considered assumption about the challenges associated with parking in a busy city were validated. A smart parking system will allow drivers to check for available parking spaces beforehand, they are able to pay for the parking fee, they can get electronic parking permits, and the city authority can get parking analytics for the city plannin

    N-Screen Application Framework

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    Smartphones and tablets with advanced computing ability and connectivity have already become indispensable in our daily lives. As operating systems of these computer-like handheld devices are getting more mature and stable, many users want physically separated devices to interact with one another and with shared resources in real time. Those devices may have the same type of operating systems, such as sharing between android smartphone and tablets. However, sometimes the sharing occurs among different operating systems. A user may want to use a smartphone to control the menu while the image presentation is displaying on the Internet Protocol television (IPTV), as well as the audio on a personal computer. This scenario brings about the motivation of this thesis. This thesis proposes an architecture that allows for sharing resources among many devices with separated screens at real-time. Compared with traditional mobile application framework, instead of the user experience on a specific device, the consistent user experience across multiple devices becomes the key concern. This research introduces a novel approach to implement the classical Model-View-Controller (MVC) framework in a distributed manner with a multi-layered distributed controller. To ensure consistent user experiences across multiple devices with di erent platforms, this research also adopts a channel-based Publish/Subscribe with effective server push state synchronization. The experiments evaluate the portability, message travelling latency improvement and bandwidth optimization. The results of those experiments prove the advantages of the n-Screen Application Framework (NSAF) both in portability that allows deployment on multiple devices from different manufacturers and performance improvement (both in latency and bandwidth consumption) while comparing with traditional data dissemination scenarios

    Web-palveluiden suunnittelu sijaintitietoisille mobiililaitteille - Tapaus: liikenteenvalvontajärjestelmä

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    Open remote programming interfaces and technologies that enable the development of mashup applications have revolutionized the way the World Wide Web is used. The emergence of smartphones has provided a new platform for which to build applications that people can use regardless of their location. The location-aware features of smartphones have made it possible for the mobile mashup applications to customize the content they provide for users based on their location. In this thesis I study how Web services should be designed and implemented so that they would serve location-aware mobile mashup application in the best possible way. I lay down the requirements that this sort of Web service has and then look into different technological and architectural solutions that are available to create a location-aware mobile-friendly Web service interface. As the practical part of the thesis, I use the knowledge gathered from my theoretical study to implement a new Web service interface for a traffic monitoring system. The new interface is created because the system currently lacks an interface that is mobile-friendly and enables the customization of content based on the location of the user. To prove that the new interface solves the problem at hand, I implement a mobile application that consumes the new Web service interface. The client application is also used to measure sizes of responses returned by the new API, the time used to process them and what kind of effect location-based optimization has on the API. Based on the results of the implementation process and the findings of the testing phase, I propose a set of design guidelines that can be applied when developing a Web service interface for mobile location-aware devices.Avoimet etäohjelmointirajapinnat sekä teknologiat, jotka mahdollistavat mashup -sovellusten kehittämisen ovat mullistaneet tavan jolla käytämme World Wide Webiä. Älypuhelimien yleistyminen on tarjonnut uuden alustan sovelluksille, joita ei ole sidottu mihinkään paikkaan vaan ne kulkevat ihmisten mukana. älypuhelinten sijaintitietoiset ominaisuudet ovat mahdollistaneet mobiilien mashup -sovellusten sisällön räätälöimisen käyttäjän sijainnin mukaan. Tässä diplomityössä tutkin, miten Web-palveluita tulisi suunnitella ja toteuttaa, jotta ne parhaalla mahdollisella tavalla palvelisivat sijaintitietoisia mashup -sovelluksia mobiililaitteissa. Esitän vaatimukset, joita tällaisella Web-palvelulla on sekä tutkin millaisia teknologisia sekä arkkitehtuurisia käytäntöjä on olemassa mobiiliystävällisten sijaintitietoisten Web-palvelurajapintojen kehittämiseksi. Työn käytännön osuudessa käytän teoreettista tutkimustani hyväkseni kehittäessäni uuden Web-palvelurajapinnan liikenteenhallintajärjestelmälle. Uusi rajapinta tarvitaan, sillä järjestelmästä puuttuu etäohjelmointirajapinta, joka mahdollistaisi mobiilit käyttäjäsovellukset, joissa sisältö on räätälöity käyttäjän sijainnin mukaan. Todentaakseni, että uusi rajapinta ratkaisee olemassa olevan ongelman, toteutan mobiilin käyttäjäsovelluksen, joka käyttää uutta rajapintaa. Käyttäjäsovelluksen avulla myös mitataan rajapinnan palauttamien viestien kokoa, niiden prosessoimiseen käytettävää aikaa sekä sitä millainen vaikutus lokaatiopohjaisella optimoinnilla on rajapinnan toimintaan. Kehitystyön ja testitulosten pohjalta esitän joukon suosituksia, joita tulisi noudattaa kun kehitetään sijaintitietoisille mobiilisovelluksille tarkoitettua Webpalvelurajapintaa

    Despliegue de red LPWAN en entorno industrial con movilidad

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    [ES] La tecnología que comenzó a conectar masivamente a las personas hace décadas se ha desarrollado para conectar dispositivos también. La red de conectividad global resultante se denomina el internet de las cosas. Tiene aplicaciones útiles en todos los sectores de la economía y está preparado para liderar la cuarta revolución industrial, que busca la eficiencia a través de la recopilación de datos. Para lograrlo se necesita un número cada vez mayor de dispositivos, que deben ser eficientes energéticamente para permitir que estas redes sean viables tanto económica como ambientalmente. Cubrir grandes espacios con la menor cantidad posible de recursos de hardware también ayuda a reducir los costes de despliegue, y aquí es exactamente donde entran en juego las redes LPWAN (Low-Power Wide-Area Network). El objetivo de este proyecto es crear una herramienta que permita el despliegue rápido y sencillo de una red LPWAN en un entorno industrial en un contexto de movilidad. El autor ha seleccionado la tecnología LPWAN que mejor se adapta al proyecto (LoRaWAN) y una solución basada en ella, ChirpStack. Se ha desarrollado una aplicación web funcional como candidata ideal para ser la herramienta que permita despliegues de movilidad LPWAN. El uso de la aplicación web desarrollada conlleva además una mayor eficiencia de costes, ya que ahorra al usuario múltiples pasos de configuración tediosos antes de activar un nuevo nodo. Esta herramienta también logra una mayor abstracción de la tecnología de comunicaciones que se está implementando, haciéndola accesible a un mercado aún mayor. Un análisis de los resultados obtenidos destaca el éxito en la consecución de dos objetivos secundarios, la reducción del tiempo de activación del dispositivo final y la abstracción de la tecnología adyacente, además de ser una herramienta de movilidad válida para el despliegue industrial de redes LPWAN.[EN] The technology that started massively connecting people decades ago has been developed to begin connecting devices as well. The resulting global connectivity network is called the Internet of Things. It has useful applications in every sector and is set to lead the fourth industrial revolution. Efficiency through data gathering is the goal of an ever-increasing number of devices. Energy efficiency is key to make this network scalable without skyrocketing electrical consumption. Covering big spaces with as few hardware resources as possible also helps at reducing costs. This is exactly where Low-Power Wide-Area Networks come into play. The aim of this project is to create a tool that allows the fast and easy deployment of a LPWAN network in an industrial environment in a mobility context. The author has selected the LPWAN technology that best fits the project (LoRaWAN) and a solution based on it, ChirpStack. A functional web application has been developed as an ideal candidate to be the tool that allows LPWAN mobility deployments. Further cost efficiency is unlocked by the developed web application, which saves the user multiple tedious configuration steps before activating a new end-device. This tool also achieves further abstraction from the technology that is being implementing, making it accessible to an even greater market. An analysis of the results obtained highlights the success in achieving both secondary goals, a reduction in end-device activation time and an abstraction of the telecommunications technology, apart from being a mobility tool for industrial deployment of LPWAN networks.Hernández Álvarez, R. (2022). Despliegue de red LPWAN en entorno industrial con movilidad. Universitat Politècnica de València. http://hdl.handle.net/10251/181897TFG
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